The project represents a well-established UK fintech entity (Emma App) with significant demonstrable real-world utility and traction (1M+ users). However, the submission quality is critically low, containing hyperbolic claims ('most people have used my product') and missing data fields. The score reflects the strong underlying value of the verified product, heavily penalized by the lack of evidence and professionalism in the submission itself. While the platform operates at a scale comparable to or exceeding the calibration benchmark, the vague inputs necessitated the use of minimum quality factors for several criteria.
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Score Breakdown
Project Details
Algorithm Insights
Recommendations to Increase Usefulness Score
Document User Growth
Provide specific metrics on user acquisition and retention rates
Showcase Revenue Model
Detail sustainable monetization strategy and current revenue streams
Expand Evidence Base
Include testimonials, case studies, and third-party validation
Technical Roadmap
Share development milestones and feature completion timeline